U.S. patent number 10,866,310 [Application Number 16/946,127] was granted by the patent office on 2020-12-15 for vehicle sensing system for classification of vehicle model.
This patent grant is currently assigned to MAGNA ELECTRONICS INC.. The grantee listed for this patent is MAGNA ELECTRONICS INC.. Invention is credited to Helmut A. Wodrich, Walter G. Woodington.
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United States Patent |
10,866,310 |
Wodrich , et al. |
December 15, 2020 |
Vehicle sensing system for classification of vehicle model
Abstract
A sensing system for a vehicle includes at least one radar
sensor disposed at the vehicle and having a field of sensing
exterior of the vehicle. The radar sensor includes an antenna array
having multiple transmitting antennas and multiple receiving
antennas. Sensed radar data provides a data set of received sensed
radar data that is representative of an object in the field of
sensing of the at least one radar sensor, and the data set of
received sensed radar data is compared to stored data sets
representative of a plurality of vehicle types. Responsive to the
data set of received sensed radar data being determined to
correspond to a particular stored data set, the sensing system
classifies the detected object as a particular vehicle type.
Inventors: |
Wodrich; Helmut A. (Clarkston,
MI), Woodington; Walter G. (Lincoln, MA) |
Applicant: |
Name |
City |
State |
Country |
Type |
MAGNA ELECTRONICS INC. |
Auburn Hills |
MI |
US |
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Assignee: |
MAGNA ELECTRONICS INC. (Auburn
Hills, MI)
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Family
ID: |
1000005244222 |
Appl.
No.: |
16/946,127 |
Filed: |
June 8, 2020 |
Prior Publication Data
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Document
Identifier |
Publication Date |
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US 20200300971 A1 |
Sep 24, 2020 |
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Related U.S. Patent Documents
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Application
Number |
Filing Date |
Patent Number |
Issue Date |
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15695379 |
Sep 5, 2017 |
10677894 |
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62383791 |
Sep 6, 2016 |
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Current U.S.
Class: |
1/1 |
Current CPC
Class: |
G01S
13/931 (20130101); G01S 7/412 (20130101); G01S
13/867 (20130101); G01S 2013/93275 (20200101); G01S
2013/9322 (20200101); G01S 2013/9316 (20200101); G01S
2013/9314 (20130101); G01S 2013/93271 (20200101) |
Current International
Class: |
G01S
7/41 (20060101); G01S 13/86 (20060101); G01S
13/931 (20200101) |
References Cited
[Referenced By]
U.S. Patent Documents
Foreign Patent Documents
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2011090484 |
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Jul 2011 |
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WO |
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2018007995 |
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Jan 2018 |
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WO |
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Primary Examiner: Pham; Timothy X
Attorney, Agent or Firm: Honigman LLP
Parent Case Text
CROSS REFERENCE TO RELATED APPLICATIONS
The present application is a continuation of U.S. patent
application Ser. No. 15/695,379, filed Sep. 5, 2017, now U.S. Pat.
No. 10,677,894, which claims the filing benefits of U.S.
provisional application Ser. No. 62/383,791, filed Sep. 6, 2016,
which is hereby incorporated herein by reference in its entirety.
Claims
The invention claimed is:
1. A sensing system for a vehicle, said sensing system comprising:
at least one radar sensor disposed at a vehicle equipped with said
sensing system and having a field of sensing exterior of the
equipped vehicle; wherein said at least one radar sensor comprises
an antenna array having multiple transmitting antennas and multiple
receiving antennas, wherein said transmitting antennas transmit
signals and said receiving antennas receive the signals reflected
off objects; a control, wherein radar data sensed by said at least
one radar sensor is received at said control; wherein a data set of
received sensed radar data that is representative of an object
present in the field of sensing of said at least one radar sensor
is compared to stored data sets; wherein the stored data sets
comprise sets of data representative of a plurality of vehicle
types; wherein the data set of received sensed radar data
representative of the object is compared with the stored data sets
to determine if the data set of received sensed radar data
corresponds to a particular stored data set of the stored data
sets; and wherein, responsive to the data set of received sensed
radar data being determined to correspond to the particular stored
data set of the stored data sets, said sensing system classifies
the detected object as a particular vehicle type.
2. The sensing system of claim 1, wherein the received sensed radar
data comprises high definition radar reflection responses.
3. The sensing system of claim 2, wherein the high definition radar
reflection responses are evaluated by data analysis software
methods to establish surface responses for objects in the field of
sensing of said at least one radar sensor.
4. The sensing system of claim 1, wherein the stored data sets are
available via a deep learning neural network.
5. The sensing system of claim 4, wherein the deep learning neural
network is accessible via a system controller that is capable of
controlling the motion of the vehicle.
6. The sensing system of claim 1, wherein the equipped vehicle
includes a vision system comprising at least one exterior viewing
camera disposed at the equipped vehicle and an image processor for
processing image data captured by the at least one exterior viewing
camera, wherein image data captured by the at least one exterior
viewing camera is provided to said control.
7. The sensing system of claim 6, wherein image data acquired from
the vision system is processed to establish a confirmation
correlation associated with the data set of received sensed radar
data that is representative of the object.
8. The sensing system of claim 1, wherein said sensing system
accesses data from external to the equipped vehicle to confirm
vehicle classification of the detected object.
9. The sensing system of claim 8, wherein said sensing system
accesses data from Internet of Things (IoT) cloud data sources.
10. The sensing system of claim 1, wherein the particular stored
data set comprises data representative of radar signature of a
particular vehicle type.
11. The sensing system of claim 1, wherein said sensing system
comprises two or more individual radar sensors, each having an
antenna array having multiple transmitting antennas and multiple
receiving antennas, and wherein said two or more individual radar
sensors are spaced at a known separation and aligned within a known
attitude.
12. The sensing system of claim 11, wherein information is shared
between the individual radar sensors operating in stereo to
determine high definition radar reflection responses for objects
detected by said sensing system.
13. The sensing system of claim 1, wherein said at least one radar
sensor is disposed at a front portion of the equipped vehicle and
senses forward of the equipped vehicle.
14. The sensing system of claim 1, wherein said at least one radar
sensor is disposed at a rear portion of the equipped vehicle and
senses rearward of the equipped vehicle.
15. The sensing system of claim 1, wherein said at least one radar
sensor is disposed at a side portion of the equipped vehicle and
senses sideward of the equipped vehicle.
16. The sensing system of claim 1, wherein said at least one radar
sensor is part of a sensing system capable of providing automatic
emergency braking.
17. The sensing system of claim 1, wherein said at least one radar
sensor is part of a sensing system capable of providing pedestrian
detection.
18. The sensing system of claim 1, wherein said at least one radar
sensor is part of a sensing system capable of providing
intersection collision mitigation.
19. The sensing system of claim 1, wherein said sensing system is
capable of providing short range communication with a system of
another vehicle or an infrastructure system.
20. The sensing system of claim 19, wherein the short range
communication comprises a one-way communication or a two way
communication.
21. The sensing system of claim 19, wherein information
communicated by said sensing system includes at least one selected
from the group consisting of (i) status of driver assist system
functions, (ii) environment maps, (iii) object classification data,
(iv) position data, (v) intended route, (vi) vehicle condition
monitoring data, (vii) tolling authorization, (viii) parking
requests, (ix) driver monitoring, (x) driver preferences and (xi)
infrastructure updates.
22. The sensing system of claim 19, wherein the information
communicated includes sensed radar data representative of objects
in the field of sensing of the at least one radar sensor.
23. The sensing system of claim 22, wherein the short range
communication comprises a two way communication and the information
communicated includes sensed radar data of a radar sensor of
another vehicle.
24. The sensing system of claim 23, wherein the sensed radar data
of the at least one radar sensor of the equipped vehicle and sensed
radar data of the radar sensor of the other vehicle received via
communicated information are combined and evaluated by data
analysis software methods to establish enhanced surface responses
and classification for objects in the field of sensing of said at
least one radar sensor of the equipped vehicle.
25. A sensing system for a vehicle, said sensing system comprising:
at least one radar sensor disposed at a front portion of a vehicle
equipped with said sensing system and having a field of sensing
forward of the equipped vehicle; wherein said at least one radar
sensor comprises an antenna array having multiple transmitting
antennas and multiple receiving antennas, wherein said transmitting
antennas transmit signals and said receiving antennas receive the
signals reflected off objects; a control, wherein radar data sensed
by said at least one radar sensor is received at said control;
wherein a data set of received sensed radar data that is
representative of an object present in the field of sensing of said
at least one radar sensor is compared to stored data sets; wherein
the stored data sets comprise sets of data representative of a
plurality of vehicle types; wherein the data set of received sensed
radar data representative of the object is compared with the stored
data sets to determine if the data set of received sensed radar
data corresponds to a particular stored data set of the stored data
sets; wherein, responsive to the data set of received sensed radar
data being determined to correspond to the particular stored data
set of the stored data sets, said sensing system classifies the
detected object as a particular vehicle type; wherein the equipped
vehicle includes a vision system comprising at least one exterior
viewing camera disposed at the equipped vehicle and an image
processor for processing image data captured by the at least one
exterior viewing camera, wherein image data captured by the at
least one exterior viewing camera is provided to said control; and
wherein image data acquired from the vision system is processed to
confirm vehicle classification of the detected object.
26. The sensing system of claim 25, wherein the particular stored
data set comprises data representative of radar signature of a
particular vehicle type.
27. The sensing system of claim 25, wherein said at least one radar
sensor is part of a sensing system capable of providing automatic
emergency braking.
28. The sensing system of claim 25, wherein said at least one radar
sensor is part of a sensing system capable of providing pedestrian
detection.
29. The sensing system of claim 25, wherein said at least one radar
sensor is part of a sensing system capable of providing
intersection collision mitigation.
30. A sensing system for a vehicle, said sensing system comprising:
at least one radar sensor disposed at a front portion of a vehicle
equipped with said sensing system and having a field of sensing
forward of the equipped vehicle; wherein said at least one radar
sensor comprises an antenna array having multiple transmitting
antennas and multiple receiving antennas, wherein said transmitting
antennas transmit signals and said receiving antennas receive the
signals reflected off objects; a control, wherein radar data sensed
by said at least one radar sensor is received at said control;
wherein a data set of received sensed radar data that is
representative of an object present in the field of sensing of said
at least one radar sensor is compared to stored data sets; wherein
the stored data sets comprise sets of data representative of a
plurality of vehicle types; wherein the data set of received sensed
radar data representative of the object is compared with the stored
data sets to determine if the data set of received sensed radar
data corresponds to a particular stored data set of the stored data
sets; wherein, responsive to the data set of received sensed radar
data being determined to correspond to the particular stored data
set of the stored data sets, said sensing system classifies the
detected object as a particular vehicle type; and wherein said
sensing system accesses data from external to the equipped vehicle
to confirm vehicle classification of the detected object.
31. The sensing system of claim 30, wherein said sensing system
accesses data from Internet of Things (IoT) cloud data sources.
32. The sensing system of claim 30, wherein the particular stored
data set comprises data representative of radar signature of a
particular vehicle type.
33. The sensing system of claim 30, wherein said at least one radar
sensor is part of a sensing system capable of providing automatic
emergency braking.
34. The sensing system of claim 30, wherein said at least one radar
sensor is part of a sensing system capable of providing pedestrian
detection.
35. The sensing system of claim 30, wherein said at least one radar
sensor is part of a sensing system capable of providing
intersection collision mitigation.
Description
FIELD OF THE INVENTION
The present invention relates generally to a vehicle sensing system
for a vehicle and, more particularly, to a vehicle sensing system
that utilizes one or more sensors at a vehicle to provide a field
of sensing at or around the vehicle.
BACKGROUND OF THE INVENTION
Use of imaging sensors or ultrasonic sensors or radar sensors in
vehicle sensing systems is common and known. Examples of such known
systems are described in U.S. Pat. Nos. 8,013,780 and 5,949,331
and/or U.S. publication No. US-2010-0245066 and/or International
Publication No. WO 2011/090484, which are hereby incorporated
herein by reference in their entireties.
SUMMARY OF THE INVENTION
The present invention provides a driver assistance system or
sensing system for a vehicle that utilizes a sensor module or
system disposed at the vehicle to sense a respective region
exterior of the vehicle, with the sensor system comprising at least
one radar sensor disposed at the equipped vehicle (equipped with
the system and sensor(s) of the present invention) and having a
field of sensing exterior of the vehicle. The at least one radar
sensor comprises multiple Tx (transmitters) and Rx (receivers) on
an antenna array, so as to provide high definition, fine resolution
in azimuth and/or elevation to determine high definition Radar
Reflection Responses for objects detected by the system. The system
generates a data set of radar reflection responses for an object in
the field of sensing of said at least one radar sensor, and
compares the data set to stored data sets representative of
particular vehicles. Responsive to the data set of radar reflection
responses being determined to correspond to a stored data sent, the
sensing system classifies the detected object as that particular
vehicle (model or type or the like).
These and other objects, advantages, purposes and features of the
present invention will become apparent upon review of the following
specification in conjunction with the drawings.
BRIEF DESCRIPTION OF THE DRAWINGS
FIG. 1 is a perspective view of a vehicle with a sensing system
that incorporates a radar sensor in accordance with the present
invention;
FIG. 2 are images showing the effect of aspect angle on the Radar
Reflection Response (R3) of a vehicle; and
FIG. 3 is a top plan view of a vehicle equipped with the sensing
system of the present invention, showing the system or method of
the present invention, where the equipped vehicle (and associated
radar system) is rotated within its field of view range while a
particular vehicle type or model is rotated 360 degrees, in order
to collect a data set representative of the particular vehicle type
or model.
DESCRIPTION OF THE PREFERRED EMBODIMENTS
A vehicle sensing system, such as a driver assist system, object
detection system, parking assist system and/or alert system,
operates to capture sensing data exterior of the vehicle and may
process the captured data to detect objects at or near the vehicle
and in the predicted path of the vehicle, such as to assist a
driver of the vehicle in maneuvering the vehicle in a forward or
rearward direction or to assist the driver in parking the vehicle
in a parking space. The system includes a processor that is
operable to receive sensing data from multiple sensors and to
provide an output to a control that, responsive to the output,
generates an alert or controls an accessory or system of the
vehicle, or highlights or overlays an alert on a display screen
(that may be displaying video images captured by a single rearward
viewing camera or multiple cameras providing forward, side or 360
degree surround views of the area surrounding the vehicle during a
reversing or low speed maneuver of the vehicle).
Referring now to the drawings and the illustrative embodiments
depicted therein, a vehicle 10 includes an driver assistance system
or sensing system 12 that includes at least one radar sensor unit,
such as a forward facing radar sensor unit 14 (and the system may
optionally include multiple exterior facing sensors 20, such as
cameras or other sensors, such as a rearward facing sensor at the
rear of the vehicle, and a sideward/rearward facing sensor at
respective sides of the vehicle), which sense regions exterior of
the vehicle. The sensing system 12 includes a control or electronic
control unit (ECU) 16 or processor that is operable to process data
captured by the sensor or sensors and may detect objects or the
like. The data transfer or signal communication from the sensor to
the ECU may comprise any suitable data or communication link, such
as a vehicle network bus or the like of the equipped vehicle.
Some automotive radars use MIMO (Multiple Input Multiple Output)
techniques to create an effective virtual antenna aperture, which
is significantly larger than the real antenna aperture, and
delivers much better angular resolution than conventional radars,
such as, for example, conventional scanning radars.
Forward Collision Warning (FCW) systems and other Advanced Driving
Assistance Systems (ADAS) include radar sensors, typically mounted
in the grill or front bumper (such as shown in FIG. 1) and machine
vision systems, with a camera mounted at and behind the windshield
of the vehicle and viewing through the windshield and forward of
the vehicle. The radar sensors used for forward sensing include
planar antenna arrays designed to gather ranging and velocity
information. In some instances, a single planar radar is co-located
with a machine vision system (and optionally utilizing aspects of
the sensing systems described in U.S. patent application Ser. No.
15/685,123, filed Aug. 24, 2017, and published on Mar. 1, 2018 as
U.S. Patent Publication No. US-2018-0059236, which is hereby
incorporated herein by reference in its entirety).
The vision systems utilize object recognition methods to identify
objects such as lane markings, edges of vehicles, taillights, road
signs, and/or the like, to support forward collision mitigation
systems, wherein the objects identified by range and velocity
within the radar are clustered and smoothed over multiple scan
cycles to determine vectors for the track of a vehicle. Combined
with tracked objects from the machine vision system, decisions are
made to support autonomous actions by the equipped vehicle, such as
steering of the equipped vehicle and/or braking or decelerating of
the equipped vehicle, to prevent or reduce the potential impact of
a collision or provide automated cruise control.
The radar sensors used typically have been limited to provide only
radar track, position and velocity information, and have been
unable to identify the vehicle attributes such as type or specifics
such as make or model. Such early identification of vehicle
attributes would be beneficial information for confirmation with
machine vision system, aiding in decision making in safety
applications. For both systems, the FOV of the sensor controls what
can be seen, and at what location relative to the source or
equipped vehicle. For radar systems, this is further effected by
the effective range and angular resolution of the radar, controlled
respectively by the available signal bandwidth and the beam shape
defined by the antenna design.
In accordance with the present invention, High Definition (HD)
radar sensor(s) are disposed at or positioned on a vehicle to
provide range, velocity, and angular information in horizontal
and/or vertical fields of view (FOV). Use of sensors with high
angular and range resolution distinguishes multiple radar
reflection responses from the surfaces of a detected object or
vehicle, such as the rear bumper, taillights, tailpipes, axles and
suspension, wheels, wheel wells and the like of the detected
vehicle. Each Radar Reflection Response (R3) also includes measures
of the strength of the returned signal associated with the range,
velocity and position information. For any given detected vehicle
type or model, this response is unique and changes with the viewing
angle relative to the observation point, range and relative
velocity.
Data or images representative of different vehicles' Radar
Reflection Response (R3) are used to build a classification
library, which can be referenced to correlate response reflections
with the known parameters of various types, makes, models and
configurations to determine and assign vehicle type information to
objects sensed by the system. Additional information gathered from
a machine vision system may be available. By merging the
classification data, signature, aspect and track information with
machine vision data, the merged information permits improved
decision making with higher reliability.
Integration of machine vision object data with ranging,
classification and aspect information within a microprocessor
system capable of deep learning algorithms provides an alternate
means of improvement in the reliability of the system's decision
making capability. Additionally, individual vehicle identifiers
(such as, for example, taillights, vehicle height, and/or the like)
contained within the complete Radar Reflection Response image, are
available to be fused with similar vehicle attribute data gathered
by other sensors (radar, ultrasonic, camera, LIDAR, and/or the
like) permitting increased reliability for decision making.
In accordance with the present invention, individual sensors are
positioned on a vehicle. For each location of individual sensors or
for combinations of sensors, the Radar Reflection Responses of
specific vehicle makes and models are measured to establish the
characteristic signature for the particular vehicle (such as shown
in FIG. 2).
In order to establish the signature for individual vehicles, the
following method is envisioned (and shown in FIG. 3): The
particular vehicle to be measured or classified or characterized is
placed on a rotary table permitting 360 degree rotation (see
"Subject Vehicle" in FIG. 3). An HD radar source, located in
vehicle position on an equipped vehicle (see "Source Vehicle" in
FIG. 3), is positioned on a rotary table permitting translation of
the detected other vehicle through the entire breadth of the
sensor's field of sensing or field of view (FOV). The radar's RF
receive signal permits a variable delay (t=.+-.xx.xx nanoseconds)
and a corresponding reduction in signal strength is input on the
reflected signals reception in the sensor to simulate the other
vehicle at a range greater or less than the actual distance between
the sensor (of the equipped/source vehicle) and other/subject
vehicle.
Using this arrangement (see FIG. 3), data is collected as the
source/equipped vehicle is rotated or swept through its range or
field of view while the particular vehicle being characterized is
within the field of sensing of the sensor and is rotated 360
degrees. The Radar Reflection Response (R3) of the particular
vehicle can be measured at a fixed range by rotating the particular
vehicle's rotary table. Combining motion of the equipped vehicle's
rotary table in closed loop control with the particular vehicle's
rotary table permits the measurement of Radar Reflection Response
(R3) relative to the aspect of the particular vehicle and its
bearing. With the addition of the time delay and signal magnitude
compensation into the closed loop control, the method can gather
radar reflection response data representing a full range of
positions of the other vehicle in azimuth, range and intersection
angle along a particular vehicle path.
Additional methods incorporating scanning the exterior of the other
vehicle, while varying range to the vehicle, the speed and angle of
approach/departure relative to the vehicle, are envisioned as
potential means of establishing and/or validating vehicle specific
Radar Reflection Response (R3) signatures.
Within the signal processing and analysis software (SW) of the
radar sensor, or contained in a secondary microprocessor on the
vehicle or external to the vehicle, such as a cloud type service,
attributes associated with an unknown target detected by the radar
sensor(s) on the equipped vehicle are classified using a
correlation methodology to define the object/vehicle type (such as
a sedan, coupe, pickup truck, SUV, van, commercial truck,
semi-truck, and/or the like).
Therefore, the present invention provides a system including one or
more radar sensors collecting high definition location information
(such as range, elevation angle, azimuth angle) and velocity of
objects within the field of view, and grouping the data into
clusters or data sets to define the object or vehicle. The
collected data set is associated with or compared to established
motion paths of objects (such as stored motion paths for various
types of vehicles) in the field of view of the sensor(s).
Responsive to a determined correlation of the data set with an
established motion path of a particular type of vehicle, the data
set is assigned or classified as being representative of a
potential vehicle in the field of view of the sensor(s).
The system includes stored data sets 18 that are representative of
different vehicle types or models. The stored data sets may be
collected via rotating a particular vehicle type or model within
the field of sensing of a sensor at an equipped vehicle (while also
rotating the equipped vehicle and sensor so that the particular
vehicle is viewed at various angles relative to the principal
sensing axis of the radar sensor of the equipped vehicle). For
example, the particular vehicle may be rotated 360 degrees in front
of the equipped vehicle when the equipped vehicle has its principal
sensing axis of its radar sensor directed towards the particular
vehicle and at various angles to either side of the particular
vehicle. The system correlates the collected data of the sensed
particular vehicle with the various sensing angles to provide a
data set for that particular vehicle that can be accessed to
determine if data sensed during operation of the sensing system
while the vehicle travels along a road is indicative of that
particular sensed vehicle. During such operation of the system and
equipped vehicle, the system may access multiple stored data sets,
each representative of a path of travel of a particular vehicle
type relative to the equipped vehicle, in order to determine which
stored data set best matches the collected data set and thus in
order to determine if the detected object may be one of the types
of vehicles represented by the stored data sets.
The method for establishing the Radar Reflection Response (R3) of a
specific vehicle model or type may include rotating a particular
vehicle at a controlled angular rate, and rotating an equipped
vehicle, including the radar sensor(s), through the full range of
the field of view. The method may include delaying the received
signal or effective range. A system controller is capable of
controlling the motion of the particular vehicle turntable or
rotating means, the equipped vehicle turntable and rotating means
and the delay time to simulate motion of the particular vehicle to
record the Radar Reflection Response signature of a specific
vehicle (or vehicle type) and define a known reference signature's
attributes for that specific vehicle (or vehicle type).
During operation of the system on an equipped vehicle traveling on
a road, the captured data or data set associated with a detected
object (potential vehicle) is compared with a library of known
signatures or data sets, gathered for various vehicle types (sedan,
coupe, pickup truck, SUV, van, commercial truck, semi-truck, and/or
the like) to classify the vehicle type of the detected potential
vehicle. The known signature attributes are available within the
system memory, or via external sources accessed in real time or via
periodic updates to the vehicle, or within a deep learning neural
network accessible via the system controller.
The system may also include a machine vision system, where
information acquired from the machine vision system for a potential
vehicle (height, width, taillight location, license plate number,
and/or the like) is evaluated to establish a confirmation
correlation associated with the potential vehicle radar system
data, assigned within a vehicle attribute data record or enhanced
object list comprising radar data, machine vision data, correlation
data, vehicle type data, and vehicle data.
The system may utilize data from the vehicle attribute data record,
and may access data from external to the vehicle, such as IoT cloud
data sources, to confirm vehicle classification (license
plate=>vehicle type, make or model).
The data associated with a potential vehicle is compared with a
known signature, gathered for specific vehicles to classify the
vehicle make and/or model. The known signature attributes are
available within system memory, external sources access real time
by the vehicle, or within a deep learning neural network accessible
via the system controller.
The sensing system may be capable of providing short range
communication between vehicles or infrastructure. For example, the
short range communication may comprise a one-way communication
(where the sensing system either sends or receives information) or
a two way communication (where the sensing system sends and
receives information). The information communicated may include at
least one of status of driver assist system functions, environment
maps, object classification data, position data, intended route,
vehicle condition monitoring data, tolling authorization, parking
requests, driver monitoring and preferences and ITS infrastructure
updates. The information communicated may include radar reflection
response (R3) data for objects or targets in the radar sensor's
field of sensing. The radar reflection response (R3) data of the
host vehicle and one or more vehicles radar reflection response
(R3) data received via communicated information may be combined and
evaluated by data analysis software methods to establish enhanced
surface responses and classification for objects in the field of
sensing of the at least one radar sensor.
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23, 2017, now U.S. Pat. No. 10,571,562, and/or Ser. No. 15/446,220,
filed Mar. 1, 2017, and published on Sep. 7, 2017 as U.S. Patent
Publication No. US-2017-0254873, and/or International PCT
Application No. PCT/162017/054120, filed Jul. 7, 2017, which
published on Jan. 11, 2018 as PCT Publication No. WO 2018/007995,
and/or U.S. provisional application Ser. No. 62/383,790, filed Sep.
6, 2016, which are hereby incorporated herein by reference in their
entireties.
The system may also communicate with other systems, such as via a
vehicle-to-vehicle communication system or a
vehicle-to-infrastructure communication system or the like. Such
car2car or vehicle to vehicle (V2V) and vehicle-to-infrastructure
(car2X or V2X or V2I or 4G or 5G) technology provides for
communication between vehicles and/or infrastructure based on
information provided by one or more vehicles and/or information
provided by a remote server or the like. Such vehicle communication
systems may utilize aspects of the systems described in U.S. Pat.
Nos. 6,690,268; 6,693,517 and/or 7,580,795, and/or U.S. Publication
Nos. US-2014-0375476; US-2014-0218529; US-2013-0222592;
US-2012-0218412; US-2012-0062743; US-2015-0251599; US-2015-0158499;
US-2015-0124096; US-2015-0352953; US-2016-0036917 and/or
US-2016-0210853, which are hereby incorporated herein by reference
in their entireties.
Changes and modifications in the specifically described embodiments
can be carried out without departing from the principles of the
invention, which is intended to be limited only by the scope of the
appended claims, as interpreted according to the principles of
patent law including the doctrine of equivalents.
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